Data Management, Analytics and Innovation de Neha Sharma

Data Management, Analytics and Innovation: Lecture Notes in Networks and Systems, cartea 998

Editat de Neha Sharma, Amol C. Goje, Amlan Chakrabarti, Alfred M. Bruckstein

en Limba Engleză Paperback – 28 iul 2024

Ne-a atras atenția faptul că Data Management, Analytics and Innovation reprezintă o sinteză tehnică a celor mai recente progrese în managementul datelor și smart computing, documentând cercetările prezentate la ediția a opta a conferinței ICDMAI din ianuarie 2024. Într-o eră în care volumul de informații crește exponențial, acest volum oferă o perspectivă riguroasă asupra integrării inteligenței artificiale în analitica avansată și securitatea rețelelor, fiind publicat în seria Lecture Notes in Networks and Systems de la Springer.

Putem afirma că lucrarea se distinge prin caracterul său aplicat, tratând nu doar arhitecturi teoretice, ci și implementări concrete în big data. Ca și Abhishek Bhattacharya în Innovations in Data Analytics, editorii acestui volum distilează experiență reală în principii acționabile, oferind soluții pentru provocările de scalabilitate și procesare în timp real. Diferența majoră rezidă în actualitatea datelor din 2024, care includ cele mai noi iterații ale algoritmilor de învățare automată aplicate în infrastructuri complexe.

Merită menționat că abordarea este una multidisciplinară, balansând rigoarea academică cu nevoile industriei. În timp ce alte lucrări ale editorilor, precum cele din domeniul medical semnate de Alfred M. Bruckstein, se concentrează pe interpretarea specifică a semnalelor, volumul de față extinde orizontul către managementul macroscopic al fluxurilor de date. Ritmul textului este unul dens, specific literaturii de specialitate, unde fiecare capitol funcționează ca un studiu de caz independent asupra inovației în sistemele inteligente.

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Specificații

ISBN-13: 9789819732449
ISBN-10: 9819732441
Pagini: 480
Ilustrații: X, 390 p. 140 illus., 70 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.81 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte profesioniștilor și cercetătorilor care au nevoie de o bază de date actualizată cu soluții tehnice pentru 2024. Cititorul câștigă acces la metodologii noi de procesare a datelor masive și perspective asupra viitorului AI, esențiale pentru oricine dorește să rămână competitiv în dezvoltarea de sisteme informatice complexe și rețele inteligente.

Despre autor

Editorii acestui volum, printre care se numără Neha Sharma, Amol C. Goje, Amlan Chakrabarti și Alfred M. Bruckstein, sunt personalități recunoscute în mediul academic internațional. Alfred M. Bruckstein, de exemplu, are o experiență vastă în procesarea semnalelor și viziune computerizată, publicând anterior lucrări tehnice precum cele despre interpretarea EKG-ului, unde a aplicat principii de simplificare a datelor complexe. Expertiza lor colectivă acoperă o gamă largă de discipline, de la algoritmi fundamentali la aplicații industriale, asigurând o selecție riguroasă a materialelor pentru ICDMAI 2024.

Descriere scurtă

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 8th International Conference on Data Management, Analytics and Innovation (ICDMAI 2024), held during 19–21 January 2024 in Vellore Institute of Technology, Vellore, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into two volumes.

Notă biografică

Dr. Neha Sharma is Data Science Crusader who advocates its application for achieving sustainable goals, solving societal, governmental, and business problems as well as promotes the use of open data. She has more than 24 years of experience and presently working with Tata Consultancy Services and is Founder Secretary, Society for Data Science. Prior to this, she has worked as Director of premier Institute of Pune that run post-graduation courses like MCA and MBA. She is Alumnus of a premier College of Engineering and Technology, Bhubaneshwar, and completed her Ph.D. from prestigious Indian Institute of Technology, Dhanbad. She is Senior IEEE Member, former Secretary—IEEE Pune Section and ACM Distinguished Speaker. She is Astute Academician and has organized several national and international conferences and published several research papers. She is Recipient of “Best Ph.D. Thesis Award” and “Best Paper Presenter at International Conference Award” at National Level.
Dr. Amol C. Goje is President of Society of Data Science and served as Director, Vidya Pratishthan’s Institute of Information Technology (VIIT), Baramati, Pune, for last 19 Years. He has a total of over twenty five years of experience in the field of Information and Computer Technology (ICT). He has developed many systems for the University. His main area of interest is to work for underprivileged people in the rural part of India. In his nineteen years as Director, he has designed and implemented numerous path-breaking, innovative, and cost effective solutions. His main innovation is Computer Mobile Van. He has done lot of research work in Information Technology and its application for rural community. In appreciation to his exemplary work, he has received the Ashoka Fellow award in the year 2002. He is engaged as Technical Advisor on many government and non-government organizations.
Amlan Chakrabarti is presently Full Professor and Director of the A.K.Choudhury School of Information Technology, University of Calcutta. He is an M.Tech. from University of Calcutta and did his Doctoral research at the Indian Statistical Institute, Kolkata. He was Post-doctoral Fellow at the School of Engineering, Princeton University, USA, during 2011–2012. He is Recipient of DST BOYSCAST fellowship award in the area of Engineering Science in 2011, Indian National Science Academy Visiting Scientist Fellowship in 2014, JSPS Invitation Research Award from Japan in 2016, Erasmus Mundus Leaders Award from European Union in 2017, Hamied Visiting Fellowship University of Cambridge in 2018 and Shiksha Ratna Award from Govt. of West Bengal, in 2018. He is Team Leader of European Center for Research in Nuclear Science (CERN, Geneva) ALICE-India project for University of Calcutta and also Key Member of the CBM-FAIR project at Darmstadt Germany.
Professor Alfred M. Bruckstein, B.Sc., M.Sc. in EE from the Technion IIT, Haifa, Israel, and Ph.D. in EE, from Stanford University, Stanford, California, USA, is Technion Ollendorff Professor of Science, in the Computer Science Department there, and is Visiting Professor at NTU, Singapore, in the SPMS. He has done research on Neural Coding Processes, and Stochastic Point Processes, Estimation Theory, and Scattering Theory, Signal and Image Processing Topics, Computer Vision and Graphics, and Robotics. Over the years he held visiting positions at Bell Laboratories, Murray Hill, NJ, USA (1987–2001) and TsingHua University, Beijing, China (2002–2023) and made short time visits to many universities and research centers worldwide. At the Technion, he was Dean of the Graduate School and is currently Head of the Technion Excellence Program.

Caracteristici

Presents research works in the field of data management, analytics and innovation Addresses state-of-the-art topics and discusses challenges and solutions for future development Serves as a reference for researchers and practitioners in academia and industry